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ERIC Number: EJ1055540
Record Type: Journal
Publication Date: 2011-Jan
Pages: 9
Abstractor: As Provided
Reference Count: 15
ISSN: EISSN-1949-6427
Multiple Logistic Regression Analysis of Cigarette Use among High School Students
Adwere-Boamah, Joseph
Journal of Case Studies in Education, v1 Jan 2011
A binary logistic regression analysis was performed to predict high school students' cigarette smoking behavior from selected predictors from 2009 CDC Youth Risk Behavior Surveillance Survey. The specific target student behavior of interest was frequent cigarette use. Five predictor variables included in the model were: a) race, b) frequency of cocaine use, c) initial cigarette smoking age, d) feeling sad or hopeless, and e) physically inactive behavior. The results of the logistic regression analysis showed that the full model, which considered all the five independent variables together, was statistically significant. The strongest predictors of youth smoking behavior were race, frequency of cocaine use and physically inactive behavior. For example, the odds of smoking are increased by a factor of 5.0 if the student is White compared to an African American, controlling for other variables in the model. The logistic model employed explained about 31% of the variance in current frequent cigarette use among the high school students. It correctly classified 93% of the cases. The key finding is that the selected variables are important correlates of frequent cigarette use among high school students.
Publisher Info: Academic and Business Research Institute. 147 Medjool Trail, Ponte Vedra, FL 32081. Tel: 904-435-4330; e-mail:; Web site:
Publication Type: Journal Articles; Reports - Research
Education Level: High Schools; Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: Youth Risk Behavior Survey